Dataset Explanation:
Dataset Used: https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/data
Size: train.csv (110 MB), test.csv (164 MB)
Dimensions of data: train data (595212 * 59), test data (892816 * 58)
Instruction to run files:
Run jupyter notebook in terminal in the same directory and run all the cells on opening the file.
List of files:
Data_Exploration.ipynb is the jupyter notebook which has all the data exploration and graph
Preprocessing and Algorithms.ipynb is the jupyter notebook which has all the data pre-processing and all the classification algorithms
Algorithms Used:
- Logistic Regression Classifier
- SGD Classifier
- Gaussian Naive Bayes Classifier
- Bernoulli Naive Bayes Classifier
- Random Forest Classifier
- Extra Trees Classifier
- Decision Trees Classifier
- Gradient Boosting Classifier